Cargando…

Province- and Individual-Level Influential Factors of Depression: Multilevel Cross-Provinces Comparison in China

Rapid social change has given rise to a general increase in psychological pressure, which has led to more and more Chinese people suffering from depression over the past 30 years. Depression was influenced not only by individual factors but also by social factors, such as economy, culture, politics,...

Descripción completa

Detalles Bibliográficos
Autores principales: Gou, Yue, Wu, Nianwei, Xia, Jing, Liu, Yanjun, Yang, Huawu, Wang, Haibo, Yan, Tong, Luo, Dan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9120660/
https://www.ncbi.nlm.nih.gov/pubmed/35602157
http://dx.doi.org/10.3389/fpubh.2022.893280
_version_ 1784710978657583104
author Gou, Yue
Wu, Nianwei
Xia, Jing
Liu, Yanjun
Yang, Huawu
Wang, Haibo
Yan, Tong
Luo, Dan
author_facet Gou, Yue
Wu, Nianwei
Xia, Jing
Liu, Yanjun
Yang, Huawu
Wang, Haibo
Yan, Tong
Luo, Dan
author_sort Gou, Yue
collection PubMed
description Rapid social change has given rise to a general increase in psychological pressure, which has led to more and more Chinese people suffering from depression over the past 30 years. Depression was influenced not only by individual factors but also by social factors, such as economy, culture, politics, etc. These social factors were measured at the national, provincial, or community levels. However, little literature reported the influence of province-level factors on the depression of Chinese. This study examined the effects of province-level and individual-level factors on depression of Chinese respondents aged 16–97 years. We conducted a multilevel analysis of the 2018 wave survey of the Chinese Family Panel Studies (CFPS), with 19,072 respondents nested within the 25 Chinese provinces. Data for the province-level were extracted from the National Bureau of Statistics of China, including three predictors: gross regional product (GRP) per capita, expenditure for social security and employment (ESSE), and rural and urban household income inequality. Depression was measured with the eight-item short version of the Center for Epidemiologic Studies Depression Scale (CES-D8). The study found that respondents who were female, 30–59 years, divorced or widowed, less educated, rural residents, less body mass index (BMI), or had lower household income tended to report higher levels of depressive symptoms. After adjustment for individual-level features, a significant effect of provinces still survived. The respondents who lived in a province with higher GRP, higher ESSE, or smaller rural and urban household income inequality reported lower depressive symptoms. Our results demonstrated that individual features did not fully explain depression. Economic and social factors appeared to impact depression and have to be considered when the government planned for improved public depression. Meanwhile, our research also provided a suggestion for the government of some provinces to investigate and improve depression.
format Online
Article
Text
id pubmed-9120660
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-91206602022-05-21 Province- and Individual-Level Influential Factors of Depression: Multilevel Cross-Provinces Comparison in China Gou, Yue Wu, Nianwei Xia, Jing Liu, Yanjun Yang, Huawu Wang, Haibo Yan, Tong Luo, Dan Front Public Health Public Health Rapid social change has given rise to a general increase in psychological pressure, which has led to more and more Chinese people suffering from depression over the past 30 years. Depression was influenced not only by individual factors but also by social factors, such as economy, culture, politics, etc. These social factors were measured at the national, provincial, or community levels. However, little literature reported the influence of province-level factors on the depression of Chinese. This study examined the effects of province-level and individual-level factors on depression of Chinese respondents aged 16–97 years. We conducted a multilevel analysis of the 2018 wave survey of the Chinese Family Panel Studies (CFPS), with 19,072 respondents nested within the 25 Chinese provinces. Data for the province-level were extracted from the National Bureau of Statistics of China, including three predictors: gross regional product (GRP) per capita, expenditure for social security and employment (ESSE), and rural and urban household income inequality. Depression was measured with the eight-item short version of the Center for Epidemiologic Studies Depression Scale (CES-D8). The study found that respondents who were female, 30–59 years, divorced or widowed, less educated, rural residents, less body mass index (BMI), or had lower household income tended to report higher levels of depressive symptoms. After adjustment for individual-level features, a significant effect of provinces still survived. The respondents who lived in a province with higher GRP, higher ESSE, or smaller rural and urban household income inequality reported lower depressive symptoms. Our results demonstrated that individual features did not fully explain depression. Economic and social factors appeared to impact depression and have to be considered when the government planned for improved public depression. Meanwhile, our research also provided a suggestion for the government of some provinces to investigate and improve depression. Frontiers Media S.A. 2022-05-06 /pmc/articles/PMC9120660/ /pubmed/35602157 http://dx.doi.org/10.3389/fpubh.2022.893280 Text en Copyright © 2022 Gou, Wu, Xia, Liu, Yang, Wang, Yan and Luo. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Gou, Yue
Wu, Nianwei
Xia, Jing
Liu, Yanjun
Yang, Huawu
Wang, Haibo
Yan, Tong
Luo, Dan
Province- and Individual-Level Influential Factors of Depression: Multilevel Cross-Provinces Comparison in China
title Province- and Individual-Level Influential Factors of Depression: Multilevel Cross-Provinces Comparison in China
title_full Province- and Individual-Level Influential Factors of Depression: Multilevel Cross-Provinces Comparison in China
title_fullStr Province- and Individual-Level Influential Factors of Depression: Multilevel Cross-Provinces Comparison in China
title_full_unstemmed Province- and Individual-Level Influential Factors of Depression: Multilevel Cross-Provinces Comparison in China
title_short Province- and Individual-Level Influential Factors of Depression: Multilevel Cross-Provinces Comparison in China
title_sort province- and individual-level influential factors of depression: multilevel cross-provinces comparison in china
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9120660/
https://www.ncbi.nlm.nih.gov/pubmed/35602157
http://dx.doi.org/10.3389/fpubh.2022.893280
work_keys_str_mv AT gouyue provinceandindividuallevelinfluentialfactorsofdepressionmultilevelcrossprovincescomparisoninchina
AT wunianwei provinceandindividuallevelinfluentialfactorsofdepressionmultilevelcrossprovincescomparisoninchina
AT xiajing provinceandindividuallevelinfluentialfactorsofdepressionmultilevelcrossprovincescomparisoninchina
AT liuyanjun provinceandindividuallevelinfluentialfactorsofdepressionmultilevelcrossprovincescomparisoninchina
AT yanghuawu provinceandindividuallevelinfluentialfactorsofdepressionmultilevelcrossprovincescomparisoninchina
AT wanghaibo provinceandindividuallevelinfluentialfactorsofdepressionmultilevelcrossprovincescomparisoninchina
AT yantong provinceandindividuallevelinfluentialfactorsofdepressionmultilevelcrossprovincescomparisoninchina
AT luodan provinceandindividuallevelinfluentialfactorsofdepressionmultilevelcrossprovincescomparisoninchina